relation: http://eprints.imtlucca.it/515/
title: Discrete and hybrid stochastic state estimation algorithms  for Networked control systems  
creator: Di Cairano, Stefano
creator: Johasson, K.H.
creator: Bemporad, Alberto
creator: Murray, Richard M.
subject: QA75 Electronic computers. Computer science
description: Networked control systems enable for flexible systems operation and reduce cost of installation and maintenance, potentially at the price of increasing the uncertainty due to information exchange over the network. We focus on the problem of information loss in terms of packet drops, which are modelled as stochastic events that depend on the current  state of the network. To design reliable control systems the state of the network must be estimated online, together with the state of the controlled process. This paper proposes various approaches to discrete and hybrid stochastic estimation of network and process states, where  the network is modelled as a Markov chain and the packet drop probability depends on the states of the Markov chain. The proposed techniques are evaluated on simulations and experimental data.
publisher: Springer-Verlag
contributor: Egerstedt, Magnus
contributor: Mishra, Bud
date: 2008
type: Book Section
type: PeerReviewed
identifier:   Di Cairano, Stefano and Johasson, K.H. and Bemporad, Alberto and Murray, Richard M.  Discrete and hybrid stochastic state estimation algorithms for Networked control systems.   In:  Hybrid Systems: Computation and Control.   Springer-Verlag, pp. 144-157.  ISBN 9783540789284      (2008)  
relation: http://dx.doi.org/10.1007/978-3-540-78929-1_11
relation: 0.1007/978-3-540-78929-1